高级数据科学家 - AI/大语言模型
Senior Data Scientist - AI/LLMs
你好。我们是Teya。
Teya创立于一个简单的信念：本地企业值得更好的服务。
它们是咖啡馆、餐厅、美发沙龙、商店和企业家，为我们的街道带来特色，创造就业机会，让社区保持活力。然而，长期以来，金融服务让它们的生活变得更难——工具笨拙、支持差劲、流程复杂，阻碍了业务的正常运行。
Teya的存在就是为了改变这一现状。
我们正在为欧洲的本地企业打造一个金融平台——以简单工具、周到设计和真实的人性化支持为核心。我们的会员依赖我们帮助他们自信地经营业务，而这种责任塑造了我们的工作方式。
我们行动迅速。我们重视质量。我们关注细节。我们相信卓越的表现和真诚的关怀应该相辅相成。
如果你希望打造有意义的产品，解决真实的问题，并为本地企业带来真正的改变，我们期待与你联系。
你的使命
作为高级数据科学家，你将帮助构建和扩展人工智能驱动的产品，直接改善客户与我们平台的互动方式以及我们团队的运作方式。
你将加入我们的AI研究与开发团队，专注于创建以人工智能为核心的智能系统——包括客户开户与尽职调查、风险与欺诈监控、定价与客户生命周期价值优化、客户支持自动化以及人工智能辅助的软件开发。
你将跨机器学习、生成式AI、数据和软件工程领域，设计、构建并部署可靠、可扩展、可衡量且有影响力的AI解决方案。这个职位需要强大的工程思维，能够将业务问题转化为AI解决方案，并具备探索新兴AI能力如何创造实际价值的好奇心。
作为Teya的高级数据科学家，你将被期望：
- 设计、开发和部署解决真实客户和业务挑战的人工智能驱动功能和服务。
- 使用现代方法构建和集成AI系统，包括大语言模型（LLM）、生成式AI、机器学习模型、检索增强生成（RAG）、智能体和自动化工作流。
- 与产品经理、工程师、数据科学家和领域专家紧密合作，识别AI可以提升结果的机会。
- 开发高质量的生产级AI解决方案，重点关注质量、可扩展性、可观测性、安全性和响应性。
查看英文原文
Hello. We’re Teya.
Teya was founded on a simple belief: local businesses deserve better.
They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.
Teya exists to change that.
We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.
We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.
If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you
Your Mission
As an Senior Data Scientist, you will help build and scale AI-powered products that directly improve how our customers interact with our platform and how our teams operate.
You’ll join our AI Research & Development team focused on creating intelligent systems where AI is core to the experience — including customer onboarding and due diligence, risk and fraud monitoring, pricing and customer lifetime value optimisation, customer support automation, and AI-assisted software development.
You’ll work across machine learning, generative AI, data, and software engineering to design, build, and productionise AI solutions that are reliable, scalable, measurable, and impactful. This role requires a strong engineering mindset, the ability to translate business problems into AI solutions, and the curiosity to explore how emerging AI capabilities can create real value.
As a Senior Data Scientist at Teya, you will be expected to:
- Design, develop, and deploy AI-powered features and services that solve real customer and business challenges.
- Build and integrate AI systems using modern approaches including LLMs, generative AI, machine learning models, retrieval-augmented generation (RAG), agents, and automation workflows.
- Work closely with product managers, engineers, data scientists, and domain experts to identify opportunities where AI can improve outcomes.
- Develop production-grade AI solutions with strong focus on quality, scalability, observability, security, and responsible AI practices.
- Evaluate AI models and solutions through experimentation, benchmarking, and continuous improvement.
- Build data pipelines, model integrations, APIs, and services that enable AI capabilities across products.
- Improve AI reliability through techniques such as prompt engineering, model evaluation, monitoring, guardrails, and feedback loops.
- Contribute to AI engineering standards, best practices, and reusable frameworks across teams.
- Stay current with developments in AI and identify opportunities to apply new technologies effectively.
Requirements:
- Strong software engineering experience with proficiency in one or more programming languages such as Python and Java
- Experience building and deploying production software systems.
- Hands-on experience developing AI/ML-powered applications or integrating AI models into products.
- Understanding of modern AI concepts including:
- Large Language Models (LLMs)
- Generative AI applications
- Prompt engineering
- Model evaluation and optimisation
- Embeddings and vector search
- Retrieval-Augmented Generation (RAG)
- AI agents and workflow automation
- Experience working with AI/ML tooling and frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or similar.
- Experience working with cloud platforms and modern engineering practices (CI/CD, APIs, monitoring, infrastructure as code).
- Strong understanding of software engineering principles including testing, maintainability, scalability, and system design.
- Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Nice to have:
- Experience building AI solutions in regulated industries such as payments, fintech, banking, risk, compliance, or fraud prevention.
- Experience with AI use cases such as:
- Document intelligence and extraction
- Customer support automation
- Fraud detection and anomaly detection
- Decisioning systems
- Personalisation and recommendation systems
- Developer productivity tools
- Experience designing AI platforms, reusable AI infrastructure, or internal AI tooling.
- Knowledge of ML operations (MLOps), model lifecycle management, monitoring, and governance.
- Experience evaluating LLM applications for quality, safety, latency, and cost.
- Familiarity with data engineering concepts, analytics platforms, and experimentation frameworks.
- Contributions to AI communities, open-source projects, research, or technical writing.
Teya is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.
If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.